Abstract
This paper presents the AR-Drone quadrotor helicopter as a robotic platform usable for research and education. Apart from the description of hardware and software, we discuss several issues regarding drone equipment, abilities and performance. We show, how to perform basic tasks of position stabilization, object following and autonomous navigation. Moreover, we demonstrate the drone ability to act as an external navigation system for a formation of mobile robots. To further demonstrate the drone utility for robotic research, we describe experiments in which the drone has been used. We also introduce a freely available software package, which allows researches and students to quickly overcome the initial problems and focus on more advanced issues.
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References
Mellinger, D., Michael, N., Kumar, V.: Trajectory generation and control for precise aggressive maneuvers with quadrotors. In: International Symposium on Experimental Robotics, Delhi, India (2010)
Achtelik, M., Bachrach, A., He, R., Prentice, S., Roy, N.: Stereo vision and laser odometry for autonomous helicopters in GPS-denied indoor environments. In: SPIE Unmanned Systems Technology XI, Orlando, F, vol. 7332 (2009)
Blöandsch, M., Weiss, S., Scaramuzza, D., Siegwart, R.: Vision based MAV navigation in unknown and unstructured environments. In: IEEE Int. Conf. on Robotics and Automation, pp. 21–28 (2010)
Michael, N., Fink, J., Kumar, V.: Cooperative manipulation and transportation with aerial robots. Autonomous Robots 30, 73–86 (2011)
Multicopter: List of helicopter projects (2011), http://multicopter.org/wiki/
Bills, C., Chen, J., Saxena, A.: Autonomous MAV flight in indoor environments using single image perspective cues. In: IEEE Int. Conf. on Robotics and Automation (2011)
Bills, C., Yosinski, J.: MAV stabilization using machine learning and onboard sensors. Technical Report CS6780, Cornell University (2010)
Faigl, J., Krajník, T., Vonásek, V.: Přeučil, L.: Surveillance planning with localization uncertainty for mobile robots. In: 3rd Israeli Conference on Robotics (2010)
Ng, W.S., Sharlin, E.: Collocated interaction with flying robots. Technical Report 2011-998-10, Dept. of Computer Science, University of Calgary, Canada (2011)
Higuchi, K., Shimada, T., Rekimoto, J.: Flying sports assistant: external visual imagery representation for sports training. In: 2nd Augmented Human International Conference, pp. 7:1–7:4. ACM, New York (2011)
Krajník, T.: Simple ‘getting started’ applications for AR-drone (2011), http://labe.felk.cvut.cz/~tkrajnik/ardrone
Šolc, F.: Modelling and control of a quadrocopter. Advanced in Military Technology 1, 29–38 (2007)
Kailath, T.: Linear Systems. Prentice-Hall, Englewood Cliffs (1980)
Krajník, T., Faigl, J., Vonásek, V., Košnar, K., Kulich, M., Přeučil, L.: Simple yet stable bearing-only navigation. Journal of Field Robotics 27, 511–533 (2010)
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-Up Robust Features (SURF). Computer Vision and Image Understanding 110, 346–359 (2008)
Saska, M., Vonásek, V., Přeučil, L.: Roads sweeping by unmanned multi-vehicle formations. In: IEEE Int. Conf. on Robotics and Automation (2011)
Consolini, L., Morbidi, F., Prattichizzo, D., Tosques, M.: Leader-follower formation control of nonholonomic mobile robots with input constraints. Automatica 44, 1343–1349 (2008)
Spitz, S.N., Requicha, A.A.G.: Multiple-Goals Path Planning for Coordinate Measuring Machines. In: IEEE Int. Conf. on Robotics and Automation, pp. 2322–2327 (2000)
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Krajník, T., Vonásek, V., Fišer, D., Faigl, J. (2011). AR-Drone as a Platform for Robotic Research and Education. In: Obdržálek, D., Gottscheber, A. (eds) Research and Education in Robotics - EUROBOT 2011. EUROBOT 2011. Communications in Computer and Information Science, vol 161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21975-7_16
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DOI: https://doi.org/10.1007/978-3-642-21975-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21974-0
Online ISBN: 978-3-642-21975-7
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